Driver’s Visual Attention Characteristics and Their Emotional Influencing Mechanism under Different Cognitive Tasks

Yaqi Liu, Xiaoyuan Wang, Longfei Chen, Shijie Liu, Junyan Han, Huili Shi and Fusheng Zhong
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Yaqi Liu: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Xiaoyuan Wang: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
Longfei Chen: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Shijie Liu: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Junyan Han: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Huili Shi: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China
Fusheng Zhong: College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266000, China

IJERPH, 2022, vol. 19, issue 9, 1-28

Abstract: The visual attention system is the gateway to the human information processing system, and emotion is an important part of the human perceptual system. In this paper, the driver’s visual attention characteristics and the influences of typical driving emotions on those were explored through analyzing driver’s fixation time and identification accuracy to different visual cognitive tasks during driving. The results showed that: the increasing complexity of the cognitive object led to the improvement of visual identification speed. The memory and recall process increased drivers’ fixation time to cognitive objects, and the recall accuracy decreased with the increase in time interval. The increase in the number of cognitive objects resulted in the driver improving the visual identification speed for the cognitive object at the end of the sequence consciously. The results also showed that: the visual cognitive efficiency was improved in the emotional states of anger and contempt, and was decreased in the emotional states of surprise, fear, anxiety, helplessness and pleasure, and the emotional state of relief had no significant effect on the visual cognitive efficiency. The findings reveal the driver’s visual information processing mechanism to a certain extent, which are of great significance to understand the inner micro-psychology of driver’s cognition.

Keywords: drivers; visual cognition; attention; emotion; traffic safety (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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